manual_slop/conductor/tracks/mma_formalization_20260225/plan.md

Implementation Plan: 4-Tier MMA Architecture Formalization

Phase 1: Tiered Skills Implementation [checkpoint: 6ce3ea7]

• Task: Create mma-tier1-orchestrator skill in .gemini/skills/ [fe1862a]
• Task: Create mma-tier2-tech-lead skill in .gemini/skills/ [fe1862a]
• Task: Create mma-tier3-worker skill in .gemini/skills/ [fe1862a]
• Task: Create mma-tier4-qa skill in .gemini/skills/ [fe1862a]
• Task: Conductor - User Manual Verification 'Phase 1: Tiered Skills Implementation' (Protocol in workflow.md) [6ce3ea7]

Phase 2: mma-exec CLI - Core Scoping [checkpoint: dd7e591]

• Task: Scaffold scripts/mma_exec.py with basic CLI structure (argparse/click) [0b2cd32]
• Task: Implement Role-Scoped Document selection logic (mapping roles to product.md, tech-stack.md, etc.) [55c0fd1]
• Task: Implement the "Context Amnesia" bridge (ensuring a fresh subprocess session for each call) [f6e6d41]
• Task: Integrate mma-exec with the existing ai_client.py logic (SKIPPED - out of scope for Conductor)
• Task: Conductor - User Manual Verification 'Phase 2: mma-exec CLI - Core Scoping' (Protocol in workflow.md) [0195329]

Phase 3: Advanced Context Features [checkpoint: eb64e52]

• Task: Implement AST "Skeleton View" generator using tree-sitter in scripts/mma_exec.py [4e564aa]
• Task: Add dependency mapping to mma-exec (providing skeletons of imported files to Workers) [32ec14f]
• Task: Implement logging/auditing for all role hand-offs in logs/mma_delegation.log [678fa89]
• Task: Conductor - User Manual Verification 'Phase 3: Advanced Context Features' (Protocol in workflow.md) [eb64e52]

Phase 4: Workflow & Conductor Integration

• [~] Task: Update conductor/workflow.md with new MMA role definitions and mma-exec commands
• Task: Create a Conductor helper/alias in scripts/ to simplify manual role triggering
• Task: Final end-to-end verification using a sample feature implementation
• Task: Conductor - User Manual Verification 'Phase 4: Workflow & Conductor Integration' (Protocol in workflow.md)